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Environmental indicator criteria and frameworks have been used to help in their selection and presentation. It can be considered, for example, that there are major subsets of environmental indicators in-line with the Pressure-State-Response model developed by the OECD. One subset of environmental indicators is the collection of ecological indicators which can include physical, biological and ...
Sources of data for environmental statistics are varied and include surveys related to human populations and the environment, records from agencies managing environmental resources, maps and images, equipment used to examine the environment, and research studies around the world. A primary component of the data is direct observation, although ...
Environmental data is typically generated by institutions executing environmental law or doing environmental research. Environment statistics are usually generated by statistical offices and are considered as environmental data, too. Socio-economic data and other statistical data (often the "D" and the "R" of the DPSIR model) are not considered ...
Quantitative ecology is the application of advanced mathematical and statistical tools to any number of problems in the field of ecology.It is a small but growing subfield in ecology, reflecting the demand among practicing ecologists to interpret ever larger and more complex data sets using quantitative reasoning.
Provides many innovative ways to explore scientific papers, conferences, journals, and authors [105] Free Microsoft: Microsoft Academic Knowledge Graph: Multidisciplinary Provides an RDF data set about scientific publications and related entities, such as authors, institutions, journals, and fields of study.
For example see: Binary option) While an attribute is often intuitive, the variable is the operationalized way in which the attribute is represented for further data processing. In data processing data are often represented by a combination of items (objects organized in rows), and multiple variables (organized in columns).
The experience sampling method (ESM), [1] also referred to as a daily diary method, or ecological momentary assessment (EMA), is an intensive longitudinal research methodology that involves asking participants to report on their thoughts, feelings, behaviors, and/or environment on multiple occasions over time. [2]
In the following, a short introduction to input-output analysis and its environmental extension for the calculation of material footprints or RME indicators is provided. . The inter-industry flows within an economy form an n×n matrix Z and the total output of each industry forms an n×1 vecto